AI/ML
pytudes/ipynb/CherylMind.ipynb at main · norvig/pytudes
There has been much debate on the degree to which Large Language Models (LLMs) have a theory of mind: a way of understanding what other people know and don't know. In this notebook I explore one small part of the issue by asking nine LLM chatbots to solve the Cheryl's Birthday Problem, a well-known logic puzzle in which different characters have different states of knowledge at different times.
GitHub - thiswillbeyourgithub/WDoc: Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement - thiswillbeyourgithub/WDoc
GitHub - ictnlp/LLaMA-Omni: LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level. - ictnlp/LLaMA-Omni
